AIcrowd / flatland-challenge-starter-kit
⚠️ NOTICE: This starter kit was used for 2019 challenge and has been deprecated in favour of 2020 Flatland challenge's starter kit present here
☆19Updated 4 years ago
Alternatives and similar repositories for flatland-challenge-starter-kit
Users that are interested in flatland-challenge-starter-kit are comparing it to the libraries listed below
Sorting:
- Starter Kit for NeurIPS 2020 - Procgen Competition on AIcrowd☆91Updated 2 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆45Updated 4 years ago
- Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.☆77Updated 4 years ago
- This is a pip package implementing Reinforcement Learning algorithms in non-stationary environments supported by the OpenAI Gym toolkit.☆31Updated 5 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆61Updated 4 years ago
- Code for the paper, "Learning Human Objectives by Evaluating Hypothetical Behavior"☆83Updated 5 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆70Updated last year
- ☆92Updated 4 years ago
- A collection of Reinforcement Learning GitHub code resources divided by frameworks and environments☆66Updated 3 years ago
- ☆72Updated 2 years ago
- Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.☆79Updated last year
- PyTorch RL for Pommerman☆38Updated 6 years ago
- TF2 Implementation of the Soft Actor-Critic Algorithm☆44Updated 2 years ago
- PyTorch implementation of Proximal Policy Optimization☆51Updated 7 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆103Updated 2 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- Hindsight Experience Replay - Bit flipping experiment in Tensorflow☆58Updated 6 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆95Updated 4 years ago
- In Progress : State of the art Distributed Distributional Deep Deterministic Policy Gradient algorithm implementation in pytorch.☆19Updated 6 years ago
- ☆31Updated 6 years ago
- ☆47Updated 3 years ago
- Continual Reinforcement Learning in 3D Non-stationary Environments☆37Updated 5 years ago
- OpenAI Gym wrapper for ViZDoom enviroments☆69Updated 3 years ago
- Pytorch starter code for UC Berkeley's cs285 assignments☆71Updated 3 years ago
- A curated list of reinforcement learning environments and frameworks.☆50Updated 6 years ago
- A PyTorch implementation of Human-Level Control through Deep Reinforcement Learning☆23Updated 7 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆49Updated 4 years ago
- TorchingUp provides minimal implementations of common Reinforcement Learning algorithms written in PyTorch. It is meant to complement Ope…☆47Updated 2 years ago
- Reinforcement Learning implementations and research prototyping in TensorFlow☆82Updated 6 years ago